Computing with magnetic thin films: using film geometry to improve dynamics

DOI10.1007/978-3-030-87993-8_2OpenAlexW3206937212MaRDI QIDQ2152080

Simon O'Keefe, Matthew Dale, Martin A. Trefzer, Susan Stepney, Angelika Sebald

Publication date: 6 July 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-87993-8_2

Mathematics Subject Classification ID

Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10) Quantum algorithms and complexity in the theory of computing (68Q12) Other nonclassical models of computation (68Q09) Biologically inspired models of computation (DNA computing, membrane computing, etc.) (68Q07)

Related Items (1)

Modelling and evaluating restricted ESNs

Cites Work

• Computational matter
• The role of structure and complexity on reservoir computing quality
• Decoupled echo state networks with lateral inhibition
• An experimental unification of reservoir computing methods
• Evolving Carbon Nanotube Reservoir Computers

This page was built for publication: Computing with magnetic thin films: using film geometry to improve dynamics